Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
5. Binomial Distribution & Discrete Random Variables
Discrete Random Variables
Problem 5.1.12
Textbook Question
Identifying Probability Distributions. In Exercises 7–14, determine whether a probability distribution is given. If a probability distribution is given, find its mean and standard deviation. If a probability distribution is not given, identify the requirements that are not satisfied.
Fear of Heights The table lists results from a survey of 285 subjects who were asked, “Are you afraid of heights in tall buildings?” The results are from USA Today.


1
Step 1: Verify if the given table represents a probability distribution. To do this, check two key requirements: (a) All probabilities P(x) must be between 0 and 1, and (b) The sum of all probabilities P(x) must equal 1.
Step 2: Add the probabilities provided in the table: P(Yes) = 0.46 and P(No) = 0.54. Use the formula: ∑P(x) = P(Yes) + P(No).
Step 3: If the sum of probabilities equals 1 and all probabilities are between 0 and 1, confirm that the table represents a valid probability distribution. If not, identify which requirement is violated.
Step 4: To find the mean (expected value) of the distribution, use the formula: E(X) = ∑[x * P(x)], where x represents the response values (assign numerical values such as Yes = 1, No = 0) and P(x) represents the probabilities.
Step 5: To find the standard deviation, use the formula: σ = √∑[(x - E(X))² * P(x)], where E(X) is the mean calculated in Step 4, and x and P(x) are the response values and probabilities respectively.

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